Industrial AI Podcast Archiv
358 Episoden
48 Minuten
The system enables companies to generate precise, process-specific motion trajectories that optimize production parameters and enhance adaptability, efficiency and user-friendliness. No wonder the Canadian company won the prestigious ROBOTICS AWARD 2025 by Hannover Messe.
34 Minuten
DeepSeek has impressed many and reinforcement learning is getting new attention. However, it was never gone, but is now celebrating a revival. Jan Kountik is one of the most prominent AI experts in the field. We talk to him. We talk to Jan Koutnik about prejudices, approaches and new ideas in reinforcement learning and why new ideas are needed.
49 Minuten
Frank Hutter and his team were recently able to secure nine million euros. They are now embarking on timeseries and their first industrial projects. What are the Freiburg-based company's plans?
1 Stunde 14 Minuten
Andrii Zadaianchuk's CV is impressive: ETH Zurich, Max Planck and University of Amsterdam. We spoke to the exceptional researcher from the Netherlands. It's all about industrial AI and world robotics models.
19 Minuten
We wanted to know who Cusp AI's customers are, what the platform looks like and how it brings together AI and domain knowledge. And Max explains what his product looks like in the end.
1 Stunde 13 Minuten
Prof. Dr. Günter Klambauer explains Deepseek and evaluates the new model for us. Prof. Dr. Daniel Leidner from DLR, Anders Billesø Beck from Universal Robots and Dr. Karsten Roscher from Fraunhofer IKS discuss robotics, AI and safety with us.
25 Minuten
We repeatedly see individual companies rolling out AutoML as a product, but the technology has not yet fulfilled the great promise of empowering domain experts. Why?
51 Minuten
An exploration into the intersection of artificial intelligence and manufacturing, where complex challenges meet innovative solutions. Expect insights that go beyond buzzwords to the heart of what drives efficiency and transformation in the manufacturing sector.
52 Minuten
Together, we explore the evolution of agent technology, its practical use cases, and the profound impact it may have on industrial workflows. This is a thought-provoking discussion about the intersection of AI, industry, and the human-first design approach that drives innovation forward.
58 Minuten
The episode was recorded on the fringes of the Beyond Safety Forum at the beginning of December. Safety experts and AI thought leaders discussed the interplay between the two disciplines on site. Conclusion: It won't be easy.
46 Minuten
At the end of the year, Sepp Hochreiter looks back on the NeurIPS. We talk about the most interesting episodes and what may come next.
40 Minuten
From grounded AI models to explainable AI and overcoming data silos, the conversation dives into the nuts and bolts of creating domain-specific AI solutions. Balancing people, processes, and technology, this episode sheds light on the challenges and opportunities in leveraging AI for manufacturing reliability, maintenance, and optimization.
19 Minuten
Our guest is Joern Steinbeck and we discuss his GenAI approach with LLaMA. Joern explains in the podcast how he uses the LLM for OEE optimisation and what he has learned.
35 Minuten
From silos in the food industry to fluidized bed reactors in the chemical sector, Johannes explains how neural networks are pushing the boundaries of numerical simulation, why real-time engineering could soon become a reality, and what this means for digital twins. A conversation about science, visions, and the potential to rethink entire industries.
35 Minuten
Spleenlab is a highly specialized AI software company founded with the Idea to redefine Safety and AI. Since April 2018, the company has been primarily engaged in the development and distribution of safe Machine Learning algorithms for the semi- and fully autonomous mobility, especially the flight of unmanned aerial vehicles (UAV), helicopters, Air Taxis, driving vehicles and beyond. The groundbreaking fusion of different sensors, such as camera, laser and radar by means of Machine Learning is the core business of the company. The generated SLAM (Simultaneous Localization and Mapping) enables completely new applications and products for any kind of autonomous mobility.
